Ecosystem-based reservoir computing. Hypothesis paper
Journal article, 2025

Reservoir computing (RC) has emerged as a powerful computational paradigm, leveraging the intrinsic dynamics of complex systems to process temporal data efficiently. Here we propose to extend RC into ecological domains, where the ecosystems themselves can function as computational reservoirs, exploiting their complexity and extreme degree of interconnectedness. This position paper explores the concept of ecosystem-based reservoir computing (ERC), examining its theoretical foundations, empirical evidence, and potential applications. We argue that ERC not only offers a novel approach to computation, but also provides insights into the computational capabilities inherent in ecological systems and offers a new paradigm for remote sensing applications.

Artificial neural networks

Reservoir computing

Ecosystems

Ecosystem-based reservoir computing

Author

Alessandro Chiolerio

University of the West of England

Istituto Italiano di Tecnologia

Zoran Konkoli

Chalmers, Microtechnology and Nanoscience (MC2), Electronics Material and Systems

Andrew Adamatzky

University of the West of England

BioSystems

0303-2647 (ISSN) 18728324 (eISSN)

Vol. 255 105525

Subject Categories (SSIF 2025)

Computer Sciences

DOI

10.1016/j.biosystems.2025.105525

PubMed

40692109

More information

Latest update

8/26/2025